Hand gesture recognition with RGB camera
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Developed during the internship at Indian Statistical Institute, Kolkata.
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Developed during the internship at Indian Statistical Institute, Kolkata.
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A webservice for smart city built with Node.js and REST APIs.
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Online book store developed during web development class at POLIMI.
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Official mobile app for International Olympiad in Informatics.
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The robot is developed during the Robotics and Design course at Politecnico Di Milano.
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Multiplayer computer game developed using Unity for game design class at POLIMI.
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Projects developed during the UniCredit internship including OCR, NLP, and document classification.
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Human activity and emotion recognition from RGB videos using deep learning.
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Gesture recognition using machine learning for wearable motion controller.
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Deep learning based biomechanics capture for real-time 3D tracking and reconstruction.
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An AI-powered toolkit combining Stable Diffusion XL inpainting with MediaPipe pose estimation.
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A powerful, free web-based tool for cropping and extracting specific icons or areas from SVG files.
Published in EuroGraphics 2022, 2022
Neural Radiance Fields, RGB-D, Depth-guided sampling, Faster training
Recommended citation: Arnab Dey, Andrew I. Comport. RGB-D Neural Radiance Fields: Local Sampling for Faster Training https://diglib.eg.org/handle/10.2312/egp20221001
Published in WSCG 2022, 2022
Computer vision, Neural Radiance Fields, Depth estimation
Recommended citation: Dey, A. and Ahmine, Y. and Comport, A.I., Mip-NeRF RGB-D: Depth-Assisted Fast Neural Radiance Fields, Journal of WSCG, Volume 30 pages 34-43, DOI:10.24132/JWSCG.2022.5. https://arxiv.org/pdf/2205.09351.pdf
Published in arXiv, 2022
Neural Radiance Fields, Probabilistic modeling, Uncertainty estimation, 3D reconstruction
Recommended citation: PNeRF: Probabilistic Neural Scene Representations for Uncertain 3D Visual Mapping. Y Ahmine, A Dey, AI Comport - arXiv preprint arXiv:2209.11677, 2022 https://arxiv.org/pdf/2209.11677.pdf
Published in CVPR 2024, 2024
Neural Radiance Fields, Human modeling, Computer Vision
Recommended citation: Dey, Arnab, et al. "GHNeRF: Learning Generalizable Human Features with Efficient Neural Radiance Fields." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2024. https://openaccess.thecvf.com/content/CVPR2024/papers/Dey_GHNeRF_Learning_Generalizable_Human_Features_with_Efficient_Neural_Radiance_Fields_CVPR_2024_paper.pdf
Published in IEEE CAI 2024, 2024
Neural Radiance Fields, Biomechanics, Human modeling, AR/VR
Recommended citation: A. Dey, D. Yang, A. Dantcheva, J. Martinet, "HFNeRF: Learning Human Biomechanic Features with Neural Radiance Fields," 2024 IEEE Conference on Artificial Intelligence (CAI), Singapore, 2024. https://ieeexplore.ieee.org/abstract/document/10605269/
Published in CVPR 2024, 2024
Dataset, Neural Fields, Immersive visualization
Recommended citation: Lu, Cheng-You, et al. "DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2024. https://openaccess.thecvf.com/content/CVPR2024/papers/Lu_DiVa-360_The_Dynamic_Visual_Dataset_for_Immersive_Neural_Fields_CVPR_2024_paper.pdf
Published in IEEE Transactions on Artificial Intelligence, 2025
Human digitization, 3D Gaussian Splatting, Biomechanics
Recommended citation: Arnab Dey, Cheng-You Lu, Andrew I. Comport, Srinath Sridhar, and Jean Martinet. "HFGaussian: Human gaussian with biomechanics features". IEEE Transactions on Artificial Intelligence (2025). https://doi.org/10.1109/TAI.2025.3644324
Master course, University Cote d'Azur, 2021